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    "<br/>\n",
    "<br/>\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 通用物体和场景识别\n",
    "\n",
    "* 接口描述\n",
    "> 该请求用于通用物体及场景识别，即对于输入的一张图片（可正常解码，且长宽比适宜），输出图片中的多个物体及场景标签。\n",
    "\n",
    "* 请求示例\n",
    "\n",
    "> HTTP 方法：POST\n",
    "\n",
    "* 请求URL \n",
    "> https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 鉴权认证机制(access_token)\n",
    "* 获取Access Token\n",
    "* 获取access_token示例代码:\n",
    "----\n",
    "\n",
    "```\n",
    "# encoding:utf-8\n",
    "import requests \n",
    "\n",
    "# client_id 为官网获取的AK， client_secret 为官网获取的SK\n",
    "host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=【官网获取的AK】&client_secret=【官网获取的SK】'\n",
    "response = requests.get(host)\n",
    "if response:\n",
    "    print(response.json())\n",
    "```\n",
    "\n",
    "----"
   ]
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  {
   "cell_type": "code",
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   "source": [
    "# encoding:utf-8\n",
    "import requests \n",
    "\n",
    "# client_id 为官网获取的AK， client_secret 为官网获取的SK\n",
    "host = 'https://aip.baidubce.com/oauth/2.0/token?'\n",
    "payload = {\n",
    "    'grant_type':'client_credentials',\n",
    "    'client_id':'m1MkWxd8SF7ZSvE7KcBsE4GNwiUAgHxZ,\n",
    "    'client_secret':'nbRRYkiywvEEi59MxkEJVjR799fNgH_y,\n",
    "}\n",
    "response = requests.get(host,params=payload)\n",
    "if response:\n",
    "    print(response.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "jinshan_AT = response.json()['access_token']\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 请求参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 图像识别 url ： https://ai.baidu.com/ai-doc/IMAGERECOGNITION/Xk3bcxe21\n",
    "pd.read_html('https://ai.baidu.com/ai-doc/IMAGERECOGNITION/Xk3bcxe21')[2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 示例代码：\n",
    "```\n",
    "# encoding:utf-8\n",
    "\n",
    "import requests\n",
    "import base64\n",
    "\n",
    "'''\n",
    "通用物体和场景识别\n",
    "'''\n",
    "\n",
    "request_url = \"https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general\"\n",
    "# 二进制方式打开图片文件\n",
    "f = open('[本地文件]', 'rb')\n",
    "img = base64.b64encode(f.read())\n",
    "\n",
    "params = {\"image\":img}\n",
    "access_token = '[调用鉴权接口获取的token]'\n",
    "request_url = request_url + \"?access_token=\" + access_token\n",
    "headers = {'content-type': 'application/x-www-form-urlencoded'}\n",
    "response = requests.post(request_url, data=params, headers=headers)\n",
    "if response:\n",
    "    print (response.json())\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# encoding:utf-8\n",
    "\n",
    "import requests\n",
    "import base64\n",
    "\n",
    "'''\n",
    "通用物体和场景识别\n",
    "'''\n",
    "\n",
    "request_url = \"https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general\"\n",
    "# 二进制方式打开图片文件\n",
    "# 1.图片文件准备\n",
    "f = open('xihu.jpg', 'rb')\n",
    "img = base64.b64encode(f.read())\n",
    "\n",
    "# 2. 酬载准备\n",
    "payload={\n",
    "    'access_token':zhichao_AT,\n",
    "    'image':img,\n",
    "    'baike_num':5\n",
    "}\n",
    "\n",
    "headers = {'content-type': 'application/x-www-form-urlencoded'}\n",
    "response = requests.post(request_url, data=payload, headers=headers)\n",
    "if response:\n",
    "    print (response.json())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 菜品识别"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# encoding:utf-8\n",
    "\n",
    "import requests\n",
    "import base64\n",
    "\n",
    "'''\n",
    "菜品识别\n",
    "'''\n",
    "\n",
    "request_url = \"https://aip.baidubce.com/rest/2.0/image-classify/v2/dish\"\n",
    "# 二进制方式打开图片文件\n",
    "f = open('yuxiangrousi.jpg', 'rb')\n",
    "img = base64.b64encode(f.read())\n",
    "\n",
    "\n",
    "access_token = zhichao_AT\n",
    "payload={\n",
    "    'access_token':zhichao_AT,\n",
    "    'image':img,\n",
    "    'baike_num':5,\n",
    "    \"top_num\":5\n",
    "}\n",
    "headers = {'content-type': 'application/x-www-form-urlencoded'}\n",
    "response = requests.post(request_url, data=payload, headers=headers)\n",
    "if response:\n",
    "    print (response.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## \n",
    "# encoding:utf-8\n",
    "\n",
    "import requests\n",
    "import base64\n",
    "\n",
    "'''\n",
    "植物识别\n",
    "'''\n",
    "\n",
    "request_url = \"https://aip.baidubce.com/rest/2.0/image-classify/v1/plant\"\n",
    "# 二进制方式打开图片文件\n",
    "f = open('yuanweihua.jpg', 'rb')\n",
    "img = base64.b64encode(f.read())\n",
    "\n",
    "payload={\n",
    "    'access_token':zhichao_AT,\n",
    "    'image':img,\n",
    "    'baike_num':5,\n",
    "    \"top_num\":5\n",
    "}\n",
    "\n",
    "\n",
    "headers = {'content-type': 'application/x-www-form-urlencoded'}\n",
    "response = requests.post(request_url, data=payload, headers=headers)\n",
    "if response:\n",
    "    print (response.json())"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
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